The BBN 2007 Displayless English/Iraqi Speech-to-Speech Translation System

被引：0
|
作者：
Stallard, David [1 ]
Choi, Fred [1 ]
Kao, Chia-lin [1 ]
Krstovski, Kriste [1 ]
Natarajan, Prem [1 ]
Prasad, Rohit [1 ]
Saleem, Shirin [1 ]
Subramanian, Krishna [1 ]
机构：
[1] BBN Technol, Cambridge, MA USA
来源：
INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4 | 2007年
关键词：
speech-to-speech translation; Iraqi Arabic;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Spoken communication across a language barrier is of increasing importance in both civilian and military applications. In this paper, we present an English/Iraqi Arabic speech-to-speech translation system for the military force protection domain (checkpoints, municipal services surveys, basic descriptions of people, houses, vehicles, etc). The system combines statistical N-gram speech recognition, statistical machine translation, hand-crafted rules, and speech synthesis in order to translate between the two languages. The system is designed for "eyes-free", or "displayless" use. That is, it does not make use of a screen, mouse, or keyboard, but is instead operated by a handheld microphone with just two push buttons: one for English, and the other for Arabic.
引用
收藏
页码：2284 / 2287
页数：4
相关论文
共 50 条
  • [31] Multilingual Speech-to-Speech Translation System for Mobile Consumer Devices
    Yun, Seung
    Lee, Young-Jik
    Kim, Sang-Hun
    [J]. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2014, 60 (03) : 508 - 516
  • [32] The JANUS-III translation system: Speech-to-speech translation in multiple domains
    Language Technologies Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213-3891, United States
    [J]. Mach Transl, 1600, 1-2 (3-25): : 3 - 25
  • [33] Unsupervised features from text for speech synthesis in a speech-to-speech translation system
    Watts, Oliver
    Zhou, Bowen
    [J]. 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5, 2011, : 2164 - 2167
  • [34] Research opportunities in automatic speech-to-speech translation
    [J]. Stüker, S. (stuker@ira.uka.de), 2012, Institute of Electrical and Electronics Engineers Inc. (31):
  • [35] Pattern recognition approaches for speech-to-speech translation
    Casacuberta, F
    Vidal, E
    Sanchis, A
    Vilar, JM
    [J]. CYBERNETICS AND SYSTEMS, 2004, 35 (01) : 3 - 17
  • [36] From Speech-to-Speech Translation to Automatic Dubbing
    Federico, Marcello
    Enyedi, Robert
    Barra-Chicote, Roberto
    Giri, Ritwik
    Isik, Umut
    Krishnaswamy, Arvindh
    Sawaf, Hassan
    [J]. 17TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE TRANSLATION (IWSLT 2020), 2020, : 257 - 264
  • [37] Direct Speech-to-Speech Translation With Discrete Units
    Lee, Ann
    Chen, Peng-Jen
    Wang, Changhan
    Gu, Jiatao
    Popuri, Sravya
    Ma, Xutai
    Polyak, Adam
    Adi, Yossi
    He, Qing
    Tang, Yun
    Pino, Juan
    Hsu, Wei-Ning
    [J]. PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS), 2022, : 3327 - 3339
  • [38] Speech-to-speech translation system field experiments in all over Japan
    Multilingual Translation Laboratory, Universal Communication Research Institute, Japan
    不详
    [J]. J. Natl. Inst. Inf. Commun. Technol., 2012, 3-4 (213-223):
  • [39] Speech-to-speech Low-resource Translation
    Liu, Hsiao-Chuan
    Day, Min-Yuh
    Wang, Chih-Chien
    [J]. 2023 IEEE 24TH INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION FOR DATA SCIENCE, IRI, 2023, : 91 - 95
  • [40] Semantic transfer in speech-to-speech machine translation
    Abb, B
    Buschbeck-Wolf, B
    Tschernitschek, C
    [J]. NATURAL LANGUAGE PROCESSING AND SPEECH TECHNOLOGY: RESULTS OF THE 3RD KONVENS CONFERENCE, 1996, : 123 - 136
12345